public static void Main(string[] args)
{
Bitmap bmp = new Bitmap("../../sample.png");
Bitmap bmp2 = new Bitmap(2 * bmp.Width, 2 * bmp.Height, PixelFormat.Format32bppArgb);
float[,] yArray2 = new float[bmp2.Width, bmp2.Height];
float[,] cbArray2 = new float[bmp2.Width, bmp2.Height];
float[,] crArray2 = new float[bmp2.Width, bmp2.Height];
float[,] aArray2 = new float[bmp2.Width, bmp2.Height];
ImageArrayConverter.BitmapToAYCbCrArrays(bmp, aArray2, yArray2, cbArray2, crArray2);
Biorthogonal53Wavelet2D wavelet = new Biorthogonal53Wavelet2D(bmp.Width, bmp.Height);
Biorthogonal53Wavelet2D wavelet2 = new Biorthogonal53Wavelet2D(bmp2.Width, bmp2.Height);
wavelet.TransformIsotropic2D(aArray2);
wavelet.TransformIsotropic2D(yArray2);
wavelet.TransformIsotropic2D(cbArray2);
wavelet.TransformIsotropic2D(crArray2);
wavelet2.BacktransformIsotropic2D(aArray2);
wavelet2.BacktransformIsotropic2D(yArray2);
wavelet2.BacktransformIsotropic2D(cbArray2);
wavelet2.BacktransformIsotropic2D(crArray2);
for (int y = 0; y < bmp2.Height; y++)
{
for (int x = 0; x < bmp2.Width; x++)
{
aArray2[x, y] *= 4.0f;
yArray2[x, y] *= 4.0f;
cbArray2[x, y] *= 4.0f;
crArray2[x, y] *= 4.0f;
}
}
ImageArrayConverter.AYCbCrArraysToBitmap(aArray2, yArray2, cbArray2, crArray2, bmp2);
bmp2.Save("test.png", ImageFormat.Png);
}
private static void applyAdaptiveDeadzone (float[,] array, int numCoeffs)
{
int width = array.GetLength (0);
int height = array.GetLength (1);
Biorthogonal53Wavelet2D wavelet53 = new Biorthogonal53Wavelet2D (width, height);
OrderWavelet2D waveletOrder = new OrderWavelet2D (width, height);
wavelet53.EnableCaching = true;
waveletOrder.EnableCaching = true;
wavelet53.TransformIsotropic2D (array);
//Reverse the ordering of the coefficients
waveletOrder.BacktransformIsotropic2D (array);
//Use numCoeffs cofficient out of 64 (8x8) -> for e.g. numCoeffs = 5 this
//means a compression to 7,8% of the original size
waveletOrder.CropCoefficients (array, 7, 8);
waveletOrder.TransformIsotropic2D (array);
wavelet53.BacktransformIsotropic2D (array);
}
private static void applyAdaptiveDeadzone(float[,] array, int numCoeffs)
{
int width = array.GetLength(0);
int height = array.GetLength(1);
Biorthogonal53Wavelet2D wavelet53 = new Biorthogonal53Wavelet2D(width, height);
OrderWavelet2D waveletOrder = new OrderWavelet2D(width, height);
wavelet53.EnableCaching = true;
waveletOrder.EnableCaching = true;
wavelet53.TransformIsotropic2D(array);
//Reverse the ordering of the coefficients
waveletOrder.BacktransformIsotropic2D(array);
//Use numCoeffs cofficient out of 64 (8x8) -> for e.g. numCoeffs = 5 this
//means a compression to 7,8% of the original size
waveletOrder.CropCoefficients(array, 7, 8);
waveletOrder.TransformIsotropic2D(array);
wavelet53.BacktransformIsotropic2D(array);
}
private static void applyAdaptiveShapening(float[,] array, float position)
{
int width = array.GetLength(0);
int height = array.GetLength(1);
Biorthogonal53Wavelet2D wavelet53 = new Biorthogonal53Wavelet2D(width, height);
OrderWavelet2D waveletOrder = new OrderWavelet2D(width, height);
wavelet53.EnableCaching = true;
waveletOrder.EnableCaching = true;
wavelet53.TransformIsotropic2D(array);
//Reverse the ordering of the coefficients
waveletOrder.BacktransformIsotropic2D(array);
float[] scale = new float[8 * 8];
for (int x = 0; x < 8 * 8; x++)
{
scale [x] = 1.0f + 2.0f / ((position - x) * (position - x) + 1.0f);
}
waveletOrder.ScaleCoefficients(array, scale, 8);
waveletOrder.TransformIsotropic2D(array);
wavelet53.BacktransformIsotropic2D(array);
}